Articles about Elon Musk

• A federal jury ruled Elon Musk liable for defrauding Twitter shareholders by intentionally driving down the stock price to renegotiate or exit the $44 billion takeover deal in 2022. • The verdict was reported by Reuters and Bloomberg News on Friday, with damages to be determined in a later phase of the trial. • This ruling holds significant implications for corporate takeover accountability, potentially affecting future high-profile mergers involving public companies.

• Elon Musk stated Tesla and SpaceX AI will continue large Nvidia chip purchases even as Tesla advances its AI5 chip, optimized for edge compute in Optimus and Robotaxi. • Tesla's Terafab AI chip manufacturing facility is set to launch within seven days from March 14, potentially by March 21. • Musk praised Nvidia CEO Jensen Huang, noting AI5's efficiency in half-reticle format could halve fab needs, with AI6 potentially matching dual AI5.

Exclusive: eSafety commission pointed to Musk’s promise that ‘removing child exploitation is priority #1’ in letter obtained by Guardian Australia The Australian online safety regulator warned Elon Musk’s X amid the Grok sexualised image generation scandal that it found child abuse material was “particularly systemic” on X and more accessible than “any other mainstream service”, correspondence obtained by Guardian Australia reveals.The eSafety commissioner wrote to X in January after its chatbot Grok was used to generate sexualised images of women and children online, in what the prime minister, Anthony Albanese, described as “abhorrent”. Continue reading...

• Elon Musk has unveiled 'Macrohard,' a Tesla-xAI agent that combines Grok and screen-reading technology to automate entire software company operations, representing a significant step toward autonomous software development. • The system runs on Tesla's AI4 infrastructure and demonstrates the convergence of multiple AI capabilities—natural language processing and computer vision—to handle complex software engineering tasks. • This development signals accelerating competition in AI agent technology beyond traditional model training, as companies race to deploy autonomous systems that can perform knowledge work at scale.